{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example usage of Tempestpy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pygame 2.6.0 (SDL 2.28.4, Python 3.10.12)\n",
      "Hello from the pygame community. https://www.pygame.org/contribute.html\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-09-24 12:42:32.571249: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "2024-09-24 12:42:32.588338: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "2024-09-24 12:42:32.593115: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
      "2024-09-24 12:42:32.603726: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "2024-09-24 12:42:33.541399: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
      "error: XDG_RUNTIME_DIR not set in the environment.\n"
     ]
    }
   ],
   "source": [
    "from sb3_contrib import MaskablePPO\n",
    "from sb3_contrib.common.wrappers import ActionMasker\n",
    "from stable_baselines3.common.logger import Logger, CSVOutputFormat, TensorBoardOutputFormat, HumanOutputFormat\n",
    "\n",
    "import gymnasium as gym\n",
    "\n",
    "from minigrid.core.actions import Actions\n",
    "from minigrid.core.constants import TILE_PIXELS\n",
    "from minigrid.wrappers import RGBImgObsWrapper, ImgObsWrapper\n",
    "\n",
    "import tempfile, datetime, shutil\n",
    "\n",
    "import time\n",
    "import os\n",
    "\n",
    "from utils import MiniGridShieldHandler, create_log_dir, ShieldingConfig, MiniWrapper, expname, shield_needed, shielded_evaluation, create_shield_overlay_image\n",
    "from sb3utils import MiniGridSbShieldingWrapper, parse_sb3_arguments, ImageRecorderCallback, InfoCallback\n",
    "\n",
    "import os, sys\n",
    "from copy import deepcopy\n",
    "\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "vscode": {
     "languageId": "plaintext"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting the training\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=512x416>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Computing new shield\n",
      "LOG: Starting with explicit model creation...\n",
      "Elapsed time is 0.08019781112670898 seconds.\n",
      "LOG: Starting with model checking...\n",
      "Elapsed time is 0.0008318424224853516 seconds.\n",
      "LOG: Starting to translate shield...\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
      "Elapsed time is 0.022951364517211914 seconds.\n",
      "\n",
      "\n",
      "Computing new shield\n",
      "LOG: Starting with explicit model creation...\n",
      "Elapsed time is 0.0903787612915039 seconds.\n",
      "LOG: Starting with model checking...\n",
      "Elapsed time is 0.0008656978607177734 seconds.\n",
      "LOG: Starting to translate shield...\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 54\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 55\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 56\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 57\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 58\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 59\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 60\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 61\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 62\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 315\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 316\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 317\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 318\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 319\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 320\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 321\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 322\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 323\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 444\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 453\n",
      "Elapsed time is 0.0263826847076416 seconds.\n",
      "\n",
      "\n",
      "Computing new shield\n",
      "LOG: Starting with explicit model creation...\n",
      "Elapsed time is 0.11173772811889648 seconds.\n",
      "LOG: Starting with model checking...\n",
      "Elapsed time is 0.0016129016876220703 seconds.\n",
      "LOG: Starting to translate shield...\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 54\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 55\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 56\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 57\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 58\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 59\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 60\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 61\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 62\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 315\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 316\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 317\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 318\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 319\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 320\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 321\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 322\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 323\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 444\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 453\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 458\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 459\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 460\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 461\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 462\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 463\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 464\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 465\n",
      "Elapsed time is 0.03487586975097656 seconds.\n",
      "\n",
      "\n",
      "Computing new shield\n",
      "LOG: Starting with explicit model creation...\n",
      "Elapsed time is 0.1351919174194336 seconds.\n",
      "LOG: Starting with model checking...\n",
      "Elapsed time is 0.0011432170867919922 seconds.\n",
      "LOG: Starting to translate shield...\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 54\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 55\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 56\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 57\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 58\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 59\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 60\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 61\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 62\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 67\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 68\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 69\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 70\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 71\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 72\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 73\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 74\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 80\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 81\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 82\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 83\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 84\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 85\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 86\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 93\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 94\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 95\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 96\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for statElapsed time is 0.03844499588012695 seconds.\n",
      "e with index 97\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 98\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 106\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 107\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 108\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 109\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 110\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 315\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 316\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 317\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 318\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 319\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 320\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 321\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 322\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 323\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 329\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 330\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 331\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 332\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 333\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 334\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 335\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 336\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 343\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 344\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 345\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 346\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 347\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 348\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 349\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 357\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 358\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 359\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 360\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 361\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 362\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 371\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 372\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 373\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 374\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 375\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 444\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 453\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 457\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 458\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 459\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 460\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 461\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 462\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 463\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 464\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 465\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 466\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 470\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 471\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 472\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 473\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 474\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 475\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 476\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 477\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 478\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 479\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 483\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 484\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 485\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 486\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 487\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 488\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 489\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 490\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 491\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 492\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 496\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 497\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 498\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 499\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 500\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 501\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 502\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 503\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 504\n",
      " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 505\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=512x416>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The shield for shield_value = 0.9\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=512x416>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The shield for shield_value = 0.95\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=512x416>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The shield for shield_value = 0.99\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=512x416>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The shield for shield_value = 1.0\n",
      "Training with shield:\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=512x416>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using cpu device\n",
      "Wrapping the env with a `Monitor` wrapper\n",
      "Wrapping the env in a DummyVecEnv.\n",
      "Wrapping the env in a VecTransposeImage.\n"
     ]
    },
    {
     "ename": "AssertionError",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAssertionError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[3], line 62\u001b[0m\n\u001b[1;32m     60\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;18m__name__\u001b[39m \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m__main__\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m     61\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mStarting the training\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 62\u001b[0m     \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "Cell \u001b[0;32mIn[3], line 55\u001b[0m, in \u001b[0;36mmain\u001b[0;34m()\u001b[0m\n\u001b[1;32m     52\u001b[0m model\u001b[38;5;241m.\u001b[39mset_logger(logger)\n\u001b[1;32m     53\u001b[0m steps \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m20_000\u001b[39m\n\u001b[0;32m---> 55\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m(\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m     56\u001b[0m model\u001b[38;5;241m.\u001b[39mlearn(steps,callback\u001b[38;5;241m=\u001b[39m[InfoCallback()])\n",
      "\u001b[0;31mAssertionError\u001b[0m: "
     ]
    }
   ],
   "source": [
    "GRID_TO_PRISM_BINARY=os.getenv(\"M2P_BINARY\")\n",
    "\n",
    "def mask_fn(env: gym.Env):\n",
    "    return env.create_action_mask()\n",
    "\n",
    "def nomask_fn(env: gym.Env):\n",
    "    return [1.0] * 7\n",
    "\n",
    "def main():\n",
    "    env = \"MiniGrid-LavaSlipperyCliff-16x13-Slip10-Time-v0\"\n",
    "    \n",
    "    formula = \"Pmax=? [G ! AgentIsOnLava]\"\n",
    "    value_for_training = 0.99\n",
    "    shield_comparison =  \"absolute\"\n",
    "    shielding = ShieldingConfig.Training\n",
    "    \n",
    "    logger = Logger(\"/tmp\", output_formats=[HumanOutputFormat(sys.stdout)])\n",
    "    \n",
    "    env = gym.make(env, render_mode=\"rgb_array\")\n",
    "    image_env = RGBImgObsWrapper(env, TILE_PIXELS)\n",
    "    env = RGBImgObsWrapper(env, 8)\n",
    "    env = ImgObsWrapper(env)\n",
    "    env = MiniWrapper(env)\n",
    "\n",
    "    \n",
    "    env.reset()\n",
    "    Image.fromarray(env.render()).show()\n",
    "    \n",
    "    shield_handlers = dict()\n",
    "    if shield_needed(shielding):\n",
    "        for value in [0.9, 0.95, 0.99, 1.0]:\n",
    "            shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, \"grid.txt\", \"grid.prism\", formula, shield_value=value, shield_comparison=shield_comparison, nocleanup=False, prism_file=None)\n",
    "            env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)\n",
    "\n",
    "\n",
    "            shield_handlers[value] = shield_handler\n",
    "    if shield_needed(shielding):\n",
    "        for value in [0.9, 0.95, 0.99, 1.0]:            \n",
    "            create_shield_overlay_image(image_env, shield_handlers[value].create_shield())\n",
    "            print(f\"The shield for shield_value = {value}\")\n",
    "\n",
    "    if shielding == ShieldingConfig.Training:\n",
    "        env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handlers[value_for_training], create_shield_at_reset=False)\n",
    "        env = ActionMasker(env, mask_fn)\n",
    "        print(\"Training with shield:\")\n",
    "        create_shield_overlay_image(image_env, shield_handlers[value_for_training].create_shield())\n",
    "    elif shielding == ShieldingConfig.Disabled:\n",
    "        env = ActionMasker(env, nomask_fn)\n",
    "    else:\n",
    "        assert(False) \n",
    "    model = MaskablePPO(\"CnnPolicy\", env, verbose=1, device=\"auto\")\n",
    "    model.set_logger(logger)\n",
    "    steps = 20_000\n",
    "\n",
    "    assert(False)\n",
    "    model.learn(steps,callback=[InfoCallback()])\n",
    "\n",
    "\n",
    "\n",
    "if __name__ == '__main__':\n",
    "    print(\"Starting the training\")\n",
    "    main()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}